[DEFAULT]
model_path=${NNMODELS_PATH}/paddle_models/yolox_s_300e_coco/pp_yolox_s_coco.onnx
dataset=${REGRESSION_PATH}/dataset/COCO2017
test_input=${REGRESSION_PATH}/image/dog.jpg
input_shapes=[[1,3,640,640]]
keep_aspect_ratio=1
mean=123.675,116.28,103.53
scale=0.0171,0.0175,0.0174
pad_value=114
pixel_format=rgb
output_names=p2o.Concat.47,p2o.Concat.49,p2o.Concat.51

[bm1684x]
int8_sym_tolerance=0.98,0.79
int8_asym_tolerance=0.98,0.83

[cv18xx]
int8_sym_tolerance=0.95,0.62
bf16_tolerance=0.95,0.84
